We spoke to Roli Jindal, co-founder of RMSI Cropalytics to understand how analytics and AI-based solutions help reduce the agrarian crisis,
We caught up with Roli Jindal the co-founder of RMSI Cropalytics to understand more about how analytics and AI-based solutions can help to reduce the agrarian crisis. Read more: https://analyticsindiamag.com/how-this-agritech-company-is-using-ai-for-better-crop-estimation-and-forecasting/?fbclid=IwAR2wbUVzj_GDhYteggrTtWXcD3yJPw0Vioek7iUuKT3rPy3RBvkewoV0dFE
Artificial Intelligence (AI) vs Machine Learning vs Deep Learning vs Data Science: Artificial intelligence is a field where set of techniques are used to make computers as smart as humans. Machine learning is a sub domain of artificial intelligence where set of statistical and neural network based algorithms are used for training a computer in doing a smart task. Deep learning is all about neural networks. Deep learning is considered to be a sub field of machine learning. Pytorch and Tensorflow are two popular frameworks that can be used in doing deep learning.
Artificial Intelligence, Machine Learning, and Data Science are amongst a few terms that have become extremely popular amongst professionals in almost all the fields.
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7 Types of Data Bias in Machine Learning. Data bias can occur in a range of areas, from human reporting and selection bias to algorithmic and interpretation bias.
Most popular Data Science and Machine Learning courses — August 2020. This list was last updated in August 2020 — and will be updated regularly so as to keep it relevant